Forward Deployed Engineer

Alteryx is seeking a Forward Deployed Engineer who will work closely with strategic enterprise customers and partners. The role involves designing and building AI-ready data architectures, converting analytics workflows into deployable solutions, and ensuring successful partner-led delivery of these solutions.

Responsibilities:

• Design and build AI-ready data architectures using Alteryx One, anchored to cloud data platforms such as Snowflake, BigQuery, Databricks, and AWS
• Convert existing analytics workflows into deployable solution patterns that can be reused across customers
• Deliver lighthouse customer deployments that move from pilot to production in ~90 days
• Partner closely with systems integrators and consulting partners to enable partner-led delivery
• Work alongside Sales Engineers and Product teams to validate solutions in production and provide structured product feedback
• Create documentation, reference architectures, and playbooks so solutions can scale without ongoing FDE involvement
• Technical leadership from architecture → pilot → production → partner handoff
• Architecture decisions for cloud data platform and analytics modernization
• Creation of repeatable patterns that drive faster time-to-value, expansion, and consumption
• Clear exit criteria for every engagement—success is partner-led delivery, not long-term dependency
• Success in this role is measured by what reaches production, what scales, and what continues without your direct involvement
• Ship production systems
• Move enterprise customers from existing analytics workflows to AI-ready, cloud-native architectures built on Alteryx One
• Take solutions from pilot to production in ~90 days
• Create scalable solution patterns
• Design architectures, workflows, and deployment models that are reused across customers
• Establish repeatable patterns that become reference implementations
• Enable partner-led delivery
• Hand off solutions to systems integrators and consulting partners with clear ownership and exit criteria
• Ensure partners can sell, implement, and extend solutions independently
• Drive faster customer outcomes
• Reduce time-to-production for analytics and AI initiatives
• Deliver measurable impact, including cost reduction, faster insights, and improved operational efficiency
• Shape the product with real-world evidence
• Provide clear, structured feedback based on live deployments
• Influence roadmap and product direction by validating solutions in production

Requirements:

• 7+ years building data, analytics, or platform systems in production
• Hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift, or AWS)
• Experience working directly with enterprise customers in a technical, field-facing role
• Strong background in analytics workflows, data pipelines, or analytics engineering
• Comfortable writing production workflows and lightweight code (primarily Python and SQL; APIs as needed)
• Solid understanding of cloud architecture, governance, and cost tradeoffs
• Builder mindset—you prefer shipping real systems over creating slides
• Comfortable operating in ambiguity and giving candid technical guidance
• Motivated by scale, reuse, and partner leverage rather than one-off wins